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MLVSBM: A Stochastic Block Model for Multilevel Networks

Simulation, inference and clustering of multilevel networks using a Stochastic Block Model framework as described in Chabert-Liddell, Barbillon, Donnet and Lazega (2021) <doi:10.1016/j.csda.2021.107179>. A multilevel network is defined as the junction of two interaction networks, the upper level or inter-organizational level and the lower level or inter-individual level. The inter-level represents an affiliation relationship.

Version: 0.2.4
Depends: R (≥ 3.5.0)
Imports: R6, blockmodels, ape, magrittr, cluster
Suggests: testthat (≥ 2.1.0), covr, knitr, rmarkdown, ggplot2 (≥ 3.3.2), ggforce, spelling, cowplot, reshape2, dplyr
Published: 2022-08-05
DOI: 10.32614/CRAN.package.MLVSBM
Author: Saint-Clair Chabert-Liddell ORCID iD [aut, cre]
Maintainer: Saint-Clair Chabert-Liddell <academic at chabert-liddell.com>
BugReports: https://github.com/Chabert-Liddell/MLVSBM/issues
License: GPL-3
URL: https://github.com/Chabert-Liddell/MLVSBM
NeedsCompilation: no
Language: en-US
Citation: MLVSBM citation info
Materials: README NEWS
CRAN checks: MLVSBM results

Documentation:

Reference manual: MLVSBM.pdf
Vignettes: Tutorial

Downloads:

Package source: MLVSBM_0.2.4.tar.gz
Windows binaries: r-devel: MLVSBM_0.2.4.zip, r-release: MLVSBM_0.2.4.zip, r-oldrel: MLVSBM_0.2.4.zip
macOS binaries: r-release (arm64): MLVSBM_0.2.4.tgz, r-oldrel (arm64): MLVSBM_0.2.4.tgz, r-release (x86_64): MLVSBM_0.2.4.tgz, r-oldrel (x86_64): MLVSBM_0.2.4.tgz
Old sources: MLVSBM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MLVSBM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.